ALIGNING TOMORROW'S KNOWLEDGE WORKER™            

RM Dayton Analytics’ cloud application technologies advisory ensures your cloud strategy, platform selection, and architecture are aligned with enterprise objectives, governance requirements, and long-term value creation.

Cloud Application Technologies Strategic Impact

Outcomes: Scalable, Secure, and Connected Cloud Environments

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The suite of recommendations for our cloud application technologies advisory work together to provide best-in-cloud, high value business outcomes.

Enterprise Cloud Application Solution Partners

RM Dayton Analytics is cloud application technologies advisory that partners with the best, modern-architected cloud application technologies available. Where to you want to go tomorrow? Imagine the possibilities of leveraging the best cloud technologies, working harmoniously together. Go further with business outcome focused best-in-cloud solutions for the offices of the CFO, CMO, CRO and CPO. Combined with our personal, no-fluff approach, our best-in-cloud suite of solutions work in harmony to drive you forward, further, and faster.

Cloud Application Technologies

RM Dayton Analytics provides cloud application technologies advisory that helps enterprises accelerate cloud adoption, reduce technology fragmentation, and align platforms with business strategy. Rather than treating cloud as a collection of tools, we approach it as an enterprise operating model—one that connects people, processes, and systems into a cohesive digital foundation.

Our advisory model integrates platform selection, architectural alignment, governance design, and organizational readiness to ensure cloud technologies drive real business outcomes. The result is not simply cloud adoption, but enterprise-scale enablement that supports collaboration, agility, resilience, and informed decision-making across the organization.

How We Choose Leading Cloud Platforms and Tools

Technology selection is not a procurement exercise—it is a strategic decision with long-term operational, financial, and organizational consequences. Our cloud application technologies advisory framework ensures that platforms are chosen based on enterprise value, not feature lists or vendor hype.

Criteria for Platform Selection

We evaluate cloud platforms and applications using enterprise-grade criteria, including:

  • Scalability and performance to support long-term growth
  • Security and compliance aligned with regulatory and governance requirements
  • Interoperability and integration across existing systems
  • Data architecture alignment to enable analytics and AI
  • Operational resilience and reliability
  • Cost transparency and lifecycle economics

This ensures technology decisions support sustainable transformation rather than short-term implementation wins.

Technology Partnerships and Ecosystem Fit

Our approach emphasizes ecosystem coherence. We assess how platforms interact across the broader enterprise environment—ensuring APIs, integrations, data flows, and governance models work together rather than creating new silos. Cloud success is driven by architecture and orchestration, not isolated applications.

RM Dayton Analytics has selected only the best-in-cloud application technologies that promote a forward-looking view across connected teams, suppliers, customers, and data providers. Selecting the right technologies impacts ability to scale and react at the speed of business.  You need to be ready when the right opportunity presents itself.  Since we were founded in 2014, we have been zeroed-in on leveraging best-in-cloud technologies so that you can take actions that provide better business outcomes.

We have had a front row seat over this period of digital transformation to observe the impact of cloud application technology stacks used by analysts, data engineers, data scientists, machine learning engineers and data architects in Finance, Marketing, Operations and IT to solve the most pressing business challenges.

Aligning Technologies with Enterprise Goals

Cloud transformation fails when technology evolves faster than strategy. Our cloud application technologies advisory model ensures that platform decisions are directly tied to enterprise objectives, leadership priorities, and operational models.

These are not just nice words.  We were so thoroughly convinced of our selected suite of cloud application technologies’ propensity to provide the better business outcomes, we put skin in the game and became partners. We’re ‘all-in’ on these cloud application technologies and 100% dedicated to ensuring insights are available to you as your business evolves by leveraging these selected best-in-cloud solutions.

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Scale and Share Data Readily for the Long Haul with a Modern Data Cloud Platform

Snowflake

Our top two 'pairs well with' – Google Cloud and Anaplan. Google Cloud with Looker is the Snowflake partner for self-service analytic insights at scale, without the complexity and inflexibility of conventional solutions. Anaplan offers native integration with Snowflake for next-level decision intelligence, making the vast amount of Snowflake data available for integrated planning.

At the technology core of our recommended best-in-cloud stack is the Snowflake Data Cloud Platform.  With Snowflake, you can create a Unistore workload, where you transaction and analytic level data is stored only once.  If your data is siloed or cannot be shared either internally or externally with ease, RM Dayton and Snowflake can help you scale your use cases.

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AI-Ready Data Foundations

r4 Technologies

Our top two 'pairs well with' – Google Cloud and Automation Anywhere. Automaton Anywhere can automate r4 data foundation processes and reporting. Google Cloud with r4 Technologies delivers platform modernization, enterprise data migration, ERP and SAP transformation, and cloud enablement—executing complex transformations with operational continuity, regulatory control, and risk management discipline.

Organizations adopting the RM Dayton Analytics + r4 Technologies model achieve measurable business and operational transformation. Enterprises experience faster modernization cycles, lower transformation risk, higher data quality and trust, accelerated AI adoption, improved regulatory compliance, reduced platform complexity, and scalable digital operating models. The enterprise transitions into a continuous optimization model.

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Propel Extended Planning Across the Offices of the CFO, CRO, and CPO

Pigment

Our top two 'pairs well with' - Snowflake and Google Cloud with Looker. By connecting Snowflake with Pigment via the native integration, you can build a decision intelligence framework, with Snowflake data directly connected for Pigment for integrated planning source data. Pigment is a Looker partner and can send data to or receive data Looker with the Pigment Exchange API.

Connect five business plans into one with Pigment, which provides an integrated framework for connected planning.  Pigment scales, enabling you to aggregate large amounts of data in real-time from all your sources.  You can be efficient with Pigment, doing less grunt work than with competitive applications, freeing up bandwidth to course on what matters.  Pigment helps you align your teams, breaking down silos.  In addition to ensuring data integrity across your business models, Pigment promotes collaboration.  You can get everyone aligned easily on key metric definitions, dependency diagrams and email conversations, which run directly on Pigment.

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Make Decisions with Confidence

Anaplan

Our top two 'pairs well with' - Snowflake and Automation Anywhere. Anaplan is a new modern technology stack partner that bucks the traditional ‘all-in-one’ solution compromises which often result in either finance or accounting conceding on their requirements for the needs of the other. Automaton Anywhere can automate Anaplan planning processes and reporting.

Outperform with Anaplan Intelligence.  Drive smarter planning with predictive, prescriptive, generative, and agentic AI that is built for real-world complexity.  Then leverage the integration to close early with Anaplan Financial Consolidation, a modern architected solution long overdue.    You can deliver consolidated financial statements in record time with out-of-the-box consolidation models, drag-and-drop workflow and a calculation engine that scales with your business. In addition to smarter planning, working in an Excel paradigm, Anaplan Financial Consolidation leverages technology that uses 100% native Excel as the window into your data and the canvas to design glorious reports.

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Get Integrated Views from Any Cloud and Empower Users with Real-Time Analytics

Google Cloud Platform

Our top two 'pairs well with' - Snowflake and Pigment. Looker and Google Cloud harness the full power of Snowflake data directly via a flexible modeling layer. Together, Snowflake and Looker natively integrate to understand business data from both traditional and newer machine generated sources, so all an enterprise’s users can work with all the data and all workloads. Looker leverages Snowflake’s native support for semi-structured data (JSON, etc.). Pigment can send data to or receive data from Looker via native connection with its partner Looker.

You get a better understanding of your business with Looker and the Google Cloud Platform (GCP), where you have the flexibility to choose your cloud, workflow, and database.  Looker sits right on top of your business, supporting BigQuery, Snowflake and more than fifty SQL databases, even in hybrid environments.  Looker scales with enterprise-grade encryption across any and all clouds. Real-time dashboards give in-depth analysis, eliminating data lag.

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An Opportunity to Innovate with Intelligent Process Automation

Automation Anywhere

Our top two 'pairs well with' - Snowflake and Anaplan. Automaton Anywhere can process structured and unstructured data from sources like legacy systems and local system files, then store it in Snowflake. For instance, convert PDF documents directly into Snowflake, then seamlessly incorporate the Snowflake data into an automated workflow. Automation Anywhere can automate Anaplan processes, such as those requiring more detailed exposures and complex calculations, shifting teams to the high-value advisory work that drives business transformation.

Automation Anywhere combines artificial intelligence (AI) with robotic process automation (RPA) to accelerate operational efficiencies across all our other best-in-cloud application partners.  Time, people, and data are constrained resources in any company.  You can use intelligent process automation (IPA) technology as digital workers to take over mundane, repetitive tasks, improving workflows and boosting efficiency.

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Featured Insights

On the agenda

Consumer & Retail

Data Cloud

Teach Machines

Digital Transformation

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Best in business transformation with best-in-cloud technologies.

Aligning Cloud Technologies with Enterprise Goals

Cloud transformation fails when technology evolves faster than strategy. Our cloud application technologies advisory model ensures that platform decisions are directly tied to enterprise objectives, leadership priorities, and operational models.

Driving Collaboration Across Teams

Modern enterprises require seamless collaboration across internal teams, partners, and suppliers. Cloud platforms must enable cross-functional visibility, real-time data sharing, secure access across environments, and scalable collaboration workflows. We design cloud ecosystems that remove friction between business units and create shared operational intelligence.

Architecture and Business Process Alignment

Cloud architecture must reflect how the organization actually operates. We align cloud platforms with core business processes, decision-making structures, governance frameworks and accountability models. This ensures technology supports execution rather than disrupting it.

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